
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)2} D{)}{)}{9)1} D{)}{)}{8)0} D{)}{)}{9)0} D{)}{)}{9)3}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & -0.01 \; (0.11)      & -0.28 \; (0.11)^{*} & 0.08 \; (0.11) & 0.12 \; (0.11)  & -0.04 \; (0.10)       \\
Year                     & 0.32 \; (0.11)^{**}  & 0.16 \; (0.11)      & 0.03 \; (0.11) & 0.16 \; (0.11)  & -0.30 \; (0.10)^{**}  \\
Government Participation & -0.63 \; (0.23)^{**} & -0.39 \; (0.24)     & 0.38 \; (0.25) & -0.10 \; (0.25) & -0.92 \; (0.21)^{***} \\
\midrule
AIC                      & 234.91               & 237.41              & 246.70         & 246.58          & 220.14                \\
BIC                      & 249.28               & 251.78              & 261.06         & 260.95          & 234.51                \\
Log Likelihood           & -111.46              & -112.71             & -117.35        & -117.29         & -104.07               \\
Num. manifestos          & 81                   & 81                  & 81             & 81              & 81                    \\
Num. groups: countries   & 7                    & 7                   & 7              & 7               & 7                     \\
Var: Country (Intercept) & 0.04                 & 0.07                & 0.00           & 0.00            & 0.18                  \\
Var: Residual            & 0.84                 & 0.85                & 1.00           & 1.00            & 0.65                  \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all English-translated manifestos, scored with MFD2 for the dimension Vice.}
\label{tab:app_reg_trans_mfd2_vice}
\end{center}
\end{table}
